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Refactor: Remove broken and duplicate UI components from app.py
Browse files
app.py
CHANGED
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@@ -134,50 +134,5 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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outputs=[topic_status_text, topic_json_output]
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)
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# Set environment variables in your Hugging Face Space settings, not here.
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# BACKEND_VIDEO_URL = "https://your-modal-or-backend-url/process_video_analysis"
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# BACKEND_TOPIC_URL = "https://your-modal-or-backend-url/analyze_topic"
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with gr.Tab("Demo (for Manual Testing)"):
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gr.Markdown("### Manually test video URLs or paths for interpretation and observe the JSON response.")
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demo_interface.render()
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with gr.Tab("Topic Video Analysis"):
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gr.Markdown("### Analyze Multiple Videos Based on a Topic")
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gr.Markdown("Enter a topic, and the system will search for relevant videos, analyze them, and provide an aggregated JSON output.")
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with gr.Row():
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topic_input = gr.Textbox(label="Enter Topic", placeholder="e.g., 'best cat videos', 'Python programming tutorials'", scale=3)
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max_videos_input = gr.Number(label="Max Videos to Analyze", value=3, minimum=1, maximum=5, step=1, scale=1)
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topic_analysis_output = gr.JSON(label="Topic Analysis Results")
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with gr.Row():
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topic_submit_button = gr.Button("Analyze Topic Videos", variant="primary")
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topic_clear_button = gr.Button("Clear")
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topic_submit_button.click(
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fn=call_topic_analysis_endpoint,
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inputs=[topic_input, max_videos_input],
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outputs=[topic_analysis_output]
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)
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def clear_topic_outputs():
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return [None, 3, None]
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topic_clear_button.click(fn=clear_topic_outputs, inputs=[], outputs=[topic_input, max_videos_input, topic_analysis_output])
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gr.Examples(
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examples=[
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["AI in healthcare", 2],
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["sustainable energy solutions", 3],
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["how to make sourdough bread", 1]
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],
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inputs=[topic_input, max_videos_input],
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outputs=topic_analysis_output,
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fn=call_topic_analysis_endpoint,
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cache_examples=False
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)
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gr.Markdown("**Note:** This process involves searching for videos and then analyzing each one. It can take a significant amount of time, especially for multiple videos. The backend has a long timeout, but please be patient.")
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# Final launch of the Gradio app
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demo.launch()
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outputs=[topic_status_text, topic_json_output]
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)
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# Final launch of the Gradio app
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demo.launch()
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